PLOWS Data Management
|
|
|
- Hugo Rice
- 5 years ago
- Views:
Transcription
1 PLOWS Data Management Scot Loehrer Steve Williams Linda Cully NCAR/EOL PLOWS Planning Meeting 18 September 2009 Champaign, IL
2 PLOWS Data Management Web Site at NCAR/EOL Project Description Data Access Field Catalog Publications Documentation Meetings Mailing Lists PLOWS Web Pages Photography
3 PLOWS Field Catalog Daily Reports Operational Products Model Products Research Products Mission Summary Table
4 PLOWS Field Catalog Reports/Summaries (Status, Mission, and Operations) 257 documents and image files (0.20 GB) Research Platform Products (Aircraft, Surface, Lidar, Upper Air) 193 image files (9.70 MB) Operational Products (Satellite, Surface, Radar, Upper Air) 305,928 image files (20.38 GB) Model Output Imagery (Analysis and Forecast Fields) 116,579 image files (9.46 GB) TOTALS: 422,957 Files (30.04 GB)
5 PLOWS Field Catalog Some of the significant changes/additions for the PLOWS Field Catalog: Extend radar/satellite sectors to the northwest. WSR-88D Level III Echo Tops product. TDWR products Canadian and SREF ensemble products. ECMWF products. Model simulated reflectivity products. RUC hourly analyses. UIUC WRF products Aircraft products
6 PLOWS Data Archive (Master List)
7 PLOWS Data Archive (Operational Data Sets) Upper Air NWS high resolution (1 or 6 sec) radiosonde Multi-Agency Profiler GTS Radiosonde (man/sig) Surface ASOS 1-minute Iowa AWOS 1-minute MADIS Mesonet GTS METAR and SYNOP Precipitation/Snow NCEP/EMC Stage IV Precipitation Data NWS Cooperative Observer Daily Data NOHRSC Snow Data Assimilation System Data (link) Satellite GOES-12 1km visible PLOWS sector (netcdf) GOES-12 4km all channels PLOWS sector (netcdf) Radar WSR-88D Level II (link) WSR-88D Level III (link) Model NOMADS (link)
8 PLOWS Data Archive (ASOS/IA AWOS) ASOS Station Locations IA AWOS Station Locations
9 PLOWS Data Archive (MADIS) IADOT (10 min) INDOT (10 min) KSDOT (15 min) KYDOT (5 min) MNDOT (10 min) NDDOT (hourly) NEDOT (20 min) WIDOT (hourly) UPR IEM (20 min) MOCAWN (5 min) MQT Meso (30 min) Non-Federal AWOS (5 min) GPSMET/DDMET (15 min) HADS (hourly) NOS (6 min) RAWS (15 min) APRSWXNET (15 min) AWX (15 min) GLOBE (daily) WXforYou (15 min)
10 PLOWS Data Archive (Precipitation/Snow) NCEP/EMC Stage IV Precipitation Gage Hourly and Daily Precipitation 4km gridded gage only hourly precipitation (grib) 4km gridded multi-sensor (gage and bias-corrected radar) hourly precipitation (grib) NWS Cooperative Observer Daily Data Daily Max/Min temperature, precipitation and snowfall. NOAA/NOHRSC Snow Data Assimilation System (SNODAS) Integrates snow data from satellite, airborne platforms and ground stations. 1km gridded data of snow covered area, snow depth and snow water equivalent.
11 PLOWS Data Archive (GOES Satellite) km GOES-12 Visible Sector km GOES-12 All Channel Sector
12 PLOWS Data Archive (Model Output) NOAA National Operational Model Archive & Distribution System Archives include: NAM - 12 km resolution; 4/day; 0-60hr forecast; CONUS GFS 1 degree resolution; 4/day; 0-180hr forecast; Global GFS 0.5 degree resolution; 4/day; 0-180hr forecast; Global RUC 20km resolution; hourly; 0-3, 6, 9, 12 hr forecast; CONUS RUC 13km resolution; hourly; 0-3, 6, 9, 12 hr forecast; CONUS
13 PLOWS Data Archive (Composite Data Sets) A composite dataset is a collection (over some time period and region) of similar data (e.g. surface meteorological, soundings, precipitation) from a variety of operational and research sources, put into a common format, and passed through a uniform quality control. Why does NCAR/EOL develop composites? - Provides data in a uniform format with QC. - Allows determination of network/site problems. - Useful for model applications. - Prevents duplication of effort.
14 PLOWS Data Archive (Composite Data Sets) Upper Air (Sounding): Native (highest) Resolution (979 soundings) NWS -- 1 second resolution (7 stations; 829 soundings; GPS winds) NWS -- 6 second resolution (1 station; 109 soundings; Radiotheodolite winds) NCAR/EOL MISS -- 1 second resolution (2 locations; 14 soundings; GPS winds) University of Missouri second resolution (3 locations;27 soundings; GPS winds) 5-mb Resolution
15 PLOWS Data Archive (Surface/Precipitation Composites?) Other composite data sets that NCAR/EOL has developed in the past: Surface Meteorological composite (1 min, 5 min, 20 min, hourly) Precipitation composite (15 min, hourly, daily) Any interest in PLOWS composite data sets?
16 Hourly Surface Met Composite
17 DRI ASU ISFF T-REX Hourly Surface Composite Development AWOS ASOS Gross Limit Checks U Leeds ISS TREX MERGE Horizontal QC HOBO METAR MADIS Examine Statistics GBUAPCD China Lake China Lake ASOS U. Houston PestCast T-REX Hourly Surface Composite MISS
18 PLOWS Data Archive (Surface Composite?) Components of a possible PLOWS Surface Meteorological Composite Data Set MADIS Mesonets METAR (ASOS/AWOS/etc) MISS Surface Met MIPS Surface Met Illinois Climate Network Illinois Department of Transportation High Plains Climate Network Soil Climate Analysis Network State Air Quality Networks WI AWON GLERL Network PAAWS (Indiana) St. Louis University Mesonet
19 Summary and Data Issues Finalize PLOWS Archive High Resolution and 5mb Sounding Composite data sets completed Sept Finalize products and other requirements for PLOWS Field Catalog Real-time products from the aircraft/ground systems in field catalog? Finalize additional data archive requirements for PLOWS Surface meteorological or precipitation composites for PLOWS ?
MPEX DATA MANAGEMENT
MPEX DATA MANAGEMENT Steve Williams, Linda Cully, Linda Echo-Hawk, and Scot Loehrer NCAR Earth Observing Laboratory (EOL) Computing, Data, and Software Facility (CDS) MPEX Planning Workshop Boulder, CO
DATA FORMATS AT EOL. Steve Williams, Chris Webster, and Dennis Flanigan. EOL Computing, Data, and Software Facility
DATA FORMATS AT EOL Steve Williams, Chris Webster, and Dennis Flanigan EOL Computing, Data, and Software Facility Joint EOL/Unidata Seminar 29 May 2007 PRESENTERS AND TOPICS Steve Williams EOL Overview
MADIS Airlines for America Briefing
MADIS Airlines for America Briefing Meteorological Assimilated Data Ingest System (MADIS) FPAW Briefing Steve Pritchett NWS Aircraft Based Observations Program Manager MADIS Defined MADIS is a meteorological
RICO DATA MANAGEMENT
RICO DATA MANAGEMENT Steve Williams and Scot Loehrer UCAR/Joint Office for Science Support (JOSS) Boulder, Colorado RICO Workshop Boulder, CO 25-27 February 2004 http://www.joss.ucar.edu/rico/dm RICO DRAFT
CONDUIT Update Cooperative Opportunity for NCEP Data using IDD Technology Rebecca Cosgrove NCEP/NCO/Production Management Branch September 15, 2014
CONDUIT Update Cooperative Opportunity for NCEP Data using IDD Technology Rebecca Cosgrove NCEP/NCO/Production Management Branch September 15, 2014 Agenda Technology Refresh Data available today NOAAPORT/SBN
Development of the Canadian Precipitation Analysis (CaPA) and the Canadian Land Data Assimilation System (CaLDAS)
Development of the Canadian Precipitation Analysis (CaPA) and the Canadian Land Data Assimilation System (CaLDAS) Marco L. Carrera, Vincent Fortin and Stéphane Bélair Meteorological Research Division Environment
Robert Shedd Northeast River Forecast Center National Weather Service Taunton, Massachusetts, USA
Robert Shedd Northeast River Forecast Center National Weather Service Taunton, Massachusetts, USA Outline River Forecast Centers FEWS Implementation Status Forcing Data Ensemble Forecasting The Northeast
Quality Control of the National RAWS Database for FPA Timothy J Brown Beth L Hall
Quality Control of the National RAWS Database for FPA Timothy J Brown Beth L Hall Desert Research Institute Program for Climate, Ecosystem and Fire Applications May 2005 Project Objectives Run coarse QC
The NOAA Meteorological Assimilation Data Ingest System (MADIS)
The NOAA Meteorological Assimilation Data Ingest System (MADIS) Patricia A. Miller, Michael F. Barth, Leon A. Benjamin, Randall S. Collander, Thomas B. Kent, and Gopa Padmanabhan (OAR/ESRL/GSD) Steven
Citizen Weather Observer Program (CWOP) for Collection and Use of Citizen Weather Data Russ Chadwick (FSL), Patty Miller (FSL), and Dave Helms (NWS)
Citizen Weather Observer Program (CWOP) for Collection and Use of Citizen Weather Data Russ Chadwick (FSL), Patty Miller (FSL), and Dave Helms (NWS) Great Divide Weather Workshop Billings Weather Forecast
Real-Time Meteorological Gridded Data: What s New With HEC-RAS
Real-Time Meteorological Gridded Data: What s New With HEC-RAS Acquisition and Application of Gridded Meteorological Data in Support of the USACE s Real-Time Water Management Mission Fauwaz Hanbali, Tom
FAA Weather Research Plans
FAA Weather Research Plans Presented to: Friends /Partners in Aviation Weather Vision Forum By: Ray Moy FAA Aviation Weather Office Date: Aviation Weather Research Program (AWRP) Purpose: Applied Research
Speedwell High Resolution WRF Forecasts. Application
Speedwell High Resolution WRF Forecasts Speedwell weather are providers of high quality weather data and forecasts for many markets. Historically we have provided forecasts which use a statistical bias
Weather Forecasting. March 26, 2009
Weather Forecasting Chapter 13 March 26, 2009 Forecasting The process of inferring weather from a blend of data, understanding, climatology, and solutions of the governing equations Requires an analysis
MxVision WeatherSentry Web Services Content Guide
MxVision WeatherSentry Web Services Content Guide July 2014 DTN 11400 Rupp Drive Minneapolis, MN 55337 00.1.952.890.0609 This document and the software it describes are copyrighted with all rights reserved.
The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis
The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis World Meteorological Organization Global Cryosphere Watch Snow-Watch Workshop Session 3: Snow Analysis Products Andrew
Ninth Workshop on Meteorological Operational Systems. Timeliness and Impact of Observations in the CMC Global NWP system
Ninth Workshop on Meteorological Operational Systems ECMWF, Reading, United Kingdom 10 14 November 2003 Timeliness and Impact of Observations in the CMC Global NWP system Réal Sarrazin, Yulia Zaitseva
Assimilation of Snow and Ice Data (Incomplete list)
Assimilation of Snow and Ice Data (Incomplete list) Snow/ice Sea ice motion (sat): experimental, climate model Sea ice extent (sat): operational, U.S. Navy PIPs model; Canada; others? Sea ice concentration
Operational Forecasting With Very-High-Resolution Models. Tom Warner
Operational Forecasting With Very-High-Resolution Models Tom Warner Background Since 1997 NCAR Has Been Developing Operational Mesoscale Forecasting Systems for General Meteorological Support at Army Test
The NOAA/NESDIS/STAR IASI Near Real-Time Product Processing and Distribution System
The NOAA/NESDIS/STAR Near Real-Time Product Processing and Distribution System W. Wolf 2, T. King 1, Z. Cheng 1, W. Zhou 1, H. Sun 1, P. Keehn 1, L. Zhou 1, C. Barnet 2, and M. Goldberg 2 1 QSS Group Inc,
AN ENSEMBLE STRATEGY FOR ROAD WEATHER APPLICATIONS
11.8 AN ENSEMBLE STRATEGY FOR ROAD WEATHER APPLICATIONS Paul Schultz 1 NOAA Research - Forecast Systems Laboratory Boulder, Colorado 1. INTRODUCTION In 1999 the Federal Highways Administration (FHWA) initiated
NOAA Surface Weather Program
NOAA Surface Weather Program Maintenance Decision Support System Stakeholder Meeting #9 Jim O Sullivan NOAA Surface Weather Program Manager NWS Office of Climate, Water, and Weather Services September
The National Weather Service of the Future: Building a Weather-Ready Nation
The of the Future: Building a Weather-Ready Nation Dr. Louis W. Uccellini Director, NOAA Assistant Administrator for Weather Services NCEP Production Suite Review December 2, 2014 Outline Building a Weather-Ready
RHOAPS. Real-time Hydrology Ocean Atmosphere Prediction System. Pronunciation: Ropes Motto: More than just THREDDS
RHOAPS Real-time Hydrology Ocean Atmosphere Prediction System Pronunciation: Ropes Motto: More than just THREDDS Key Aspects Integrated real-time data systems Atmospheric Hydrologic Coastal oceans Societal
JOINT WMO TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA PROCESSING AND FORECASTING SYSTEM AND NUMERICAL WEATHER PREDICTION RESEARCH ACTIVITIES FOR 2016
JOINT WMO TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA PROCESSING AND FORECASTING SYSTEM AND NUMERICAL WEATHER PREDICTION RESEARCH ACTIVITIES FOR 2016 New Zealand / Meteorological Service of New Zealand
Panel Session 8: Current Capabilities and Future Plans for Surface Transportation Weather Support
Panel Session 8: Current Capabilities and Future Plans for Surface Transportation Weather Support Andrew Stern Chief Operations Officer, OCWWS NOAA/ AMS Washington Forum, April 3, 2014 Weather-related
SuperPack North America
SuperPack North America Speedwell SuperPack makes available an unprecedented range of quality historical weather data, and weather data feeds for a single annual fee. SuperPack dramatically simplifies
ABSTRACT 3 RADIAL VELOCITY ASSIMILATION IN BJRUC 3.1 ASSIMILATION STRATEGY OF RADIAL
REAL-TIME RADAR RADIAL VELOCITY ASSIMILATION EXPERIMENTS IN A PRE-OPERATIONAL FRAMEWORK IN NORTH CHINA Min Chen 1 Ming-xuan Chen 1 Shui-yong Fan 1 Hong-li Wang 2 Jenny Sun 2 1 Institute of Urban Meteorology,
Re-analysis activities at SMHI
Re-analysis activities at SMHI by: Anna Jansson and Per Kållberg Contents Variational data assimilation at SMHI Operational MESAN Applications of MESAN MESAN used for a long time period Variational data
Enhancing short term wind energy forecasting for improved utility operations: The Wind Forecast Improvement Project (WFIP)
Enhancing short term wind energy forecasting for improved utility operations: The Wind Forecast Improvement Project (WFIP) Jim Wilczak NOAA S. Benjamin, I. Djalalova, L. Bianco, S. Calvert, J. Freedman,
Implementation of LM assimilation suite at MeteoSwiss
Implementation of LM assimilation suite at MeteoSwiss First operational implementation of LM assimilation cycle at MeteoSwiss, run since end of October 2001. Design goals: simple robust Jean-Marie Bettems
THE ATMOSPHERIC MODEL EVALUATION TOOL: METEOROLOGY MODULE
THE ATMOSPHERIC MODEL EVALUATION TOOL: METEOROLOGY MODULE Robert C. Gilliam 1*, Wyat Appel 1 and Sharon Phillips 2 1 Atmospheric Sciences Modeling Division, National Oceanic and Atmospheric Administration,
Multi-Sensor Precipitation Reanalysis
Multi-Sensor Precipitation Reanalysis Brian R. Nelson, Dongsoo Kim, and John J. Bates NOAA National Climatic Data Center, Asheville, North Carolina D.J. Seo NOAA NWS Office of Hydrologic Development, Silver
Analysis of an Observing System Experiment for the Joint Polar Satellite System
Analysis of an Observing System Experiment for the Joint Polar Satellite System S. Lord, George Gayno 1 and Fanglin Yang 1 24 November 2015 1 I. M. Systems Group at NCEP/EMC 1 Outline The Joint Polar Satellite
1 5 th RAIDEG PUMA 2010 Upgrade - EUM/OPS/VWG/14/ September 2014 PUMA-2010 UPGRADE
1 5 th RAIDEG PUMA 2010 Upgrade - EUM/OPS/VWG/14/770918-6 September 2014 PUMA-2010 UPGRADE Category Product Title Format Consolidation of MDD stream, change of channel, no LRIT wrapping, use of wmo filenames
Status of Atmospheric Winds in Relation to Infrasound. Douglas P. Drob Space Science Division Naval Research Laboratory Washington, DC 20375
Status of Atmospheric Winds in Relation to Infrasound Douglas P. Drob Space Science Division Naval Research Laboratory Washington, DC 20375 GOT WINDS? Douglas P. Drob Space Science Division Naval Research
YOPP archive: needs of the verification community
YOPP archive: needs of the verification community B. Casati, B. Brown, T. Haiden, C. Coelho Talk Outline: P1 model and observation data P2 observation uncertainty P2 matched model and observation: time
HIGH RESOLUTION RAPID REFRESH COUPLED WITH SMOKE (HRRR- SMOKE): REAL-TIME AIR QUALITY MODELING SYSTEM AND ITS APPLICATION TO CASE STUDIES
HIGH RESOLUTION RAPID REFRESH COUPLED WITH SMOKE (HRRR- SMOKE): REAL-TIME AIR QUALITY MODELING SYSTEM AND ITS APPLICATION TO CASE STUDIES Ravan Ahmadov 1,2 (ravan.ahmadov@noaa.gov) Acknowledgement: G.
Global reanalysis: Some lessons learned and future plans
Global reanalysis: Some lessons learned and future plans Adrian Simmons and Sakari Uppala European Centre for Medium-Range Weather Forecasts With thanks to Per Kållberg and many other colleagues from ECMWF
MesoWest Accessing, Storing, and Delivering Environmental Observations
MesoWest Accessing, Storing, and Delivering Environmental Observations John Horel, University of Utah John.horel@utah.edu http://mesowest.utah.edu Goal: promote and support access, storage, and use of
Implementation and Evaluation of WSR-88D Reflectivity Data Assimilation for WRF-ARW via GSI and Cloud Analysis. Ming Hu University of Oklahoma
Implementation and Evaluation of WSR-88D Reflectivity Data Assimilation for WRF-ARW via GSI and Cloud Analysis Ming Hu University of Oklahoma 1. Previous work and Goal of visiting Previous work: Radar
Developments towards multi-model based forecast product generation
Developments towards multi-model based forecast product generation Ervin Zsótér Methodology and Forecasting Section Hungarian Meteorological Service Introduction to the currently operational forecast production
Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004
Dag.Lohmann@noaa.gov, Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004 Land Data Assimilation at NCEP: Strategic Lessons Learned from the North American Land Data Assimilation System
New applications using real-time observations and ECMWF model data
New applications using real-time observations and ECMWF model data 12 th Workshop on Meteorological Operational Systems Wim van den Berg [senior meteorological researcher, project coordinator] Overview
Snow Modeling and Observations at NOAA S National Operational Hydrologic Remote Sensing Center
Snow Modeling and Observations at NOAA S National Operational Hydrologic Remote Sensing Center Thomas R. Carroll National Operational Hydrologic Remote Sensing Center, National Weather Service, National
Forecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems
Forecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems Randall J. Alliss and Billy Felton Northrop Grumman Corporation, 15010 Conference Center Drive, Chantilly,
CHAPTER 13 WEATHER ANALYSIS AND FORECASTING MULTIPLE CHOICE QUESTIONS
CHAPTER 13 WEATHER ANALYSIS AND FORECASTING MULTIPLE CHOICE QUESTIONS 1. The atmosphere is a continuous fluid that envelops the globe, so that weather observation, analysis, and forecasting require international
Wind Assessment & Forecasting
Wind Assessment & Forecasting GCEP Energy Workshop Stanford University April 26, 2004 Mark Ahlstrom CEO, WindLogics Inc. mark@windlogics.com WindLogics Background Founders from supercomputing industry
Weather Forecasting: Lecture 2
Weather Forecasting: Lecture 2 Dr. Jeremy A. Gibbs Department of Atmospheric Sciences University of Utah Spring 2017 1 / 40 Overview 1 Forecasting Techniques 2 Forecast Tools 2 / 40 Forecasting Techniques
National Climatic Data Center Data Management Issues Tom Karl Director, NOAA s National Climatic Data Center
National Climatic Data Center Data Management Issues Tom Karl Director, NOAA s National Climatic Data Center Opening Meeting NOAA Science Advisory Board s Data Archiving and Access Requirements Working
Guide to Frontier Weather Graphics and Data Files
Guide to Frontier Weather Graphics and Data Files This document provides a listing of all weather graphics and data files that are available as of June 2012 along with file location paths on the Frontier
István Ihász, Hungarian Meteorological Service, Budapest, Hungary
Experiences using VarEPS products at the Hungarian Meteorological Service István Ihász, Hungarian Meteorological Service, Budapest, Hungary 1 Introduction ECMWF 15 day Variable Resolution Ensemble Prediction
Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD
Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD Beth Plale 1, Dennis Gannon 1, Dan Reed 2, Sara Graves 3, Kelvin Droegemeier 4, Bob Wilhelmson 5, Mohan Ramamurthy 6 1 Indiana University
REVISION OF THE STATEMENT OF GUIDANCE FOR GLOBAL NUMERICAL WEATHER PREDICTION. (Submitted by Dr. J. Eyre)
WORLD METEOROLOGICAL ORGANIZATION Distr.: RESTRICTED CBS/OPAG-IOS (ODRRGOS-5)/Doc.5, Add.5 (11.VI.2002) COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS ITEM: 4 EXPERT
7.17 RAPIDS A NEW RAINSTORM NOWCASTING SYSTEM IN HONG KONG
7.17 RAPIDS A NEW RAINSTORM NOWCASTING SYSTEM IN HONG KONG Li Ping-Wah *, Wong Wai-Kin and Edwin S.T. Lai Hong Kong Observatory, 134A Nathan Road, Kowloon, Hong Kong 1. INTRODUCTION and the numerical forecast
SAMPLE. SITE SPECIFIC WEATHER ANALYSIS Wind Report. Robinson, Smith & Walsh. John Smith. July 1, 2017 REFERENCE: 1 Maple Street, Houston, TX 77034
SAMPLE SITE SPECIFIC WEATHER ANALYSIS Wind Report PREPARED FOR: Robinson, Smith & Walsh John Smith July 1, 2017 REFERENCE: JACK HIGGINS / 4151559-01 1 Maple Street, Houston, TX 77034 CompuWeather Sample
Assimilation of Satellite Infrared Brightness Temperatures and Doppler Radar Observations in a High-Resolution OSSE
Assimilation of Satellite Infrared Brightness Temperatures and Doppler Radar Observations in a High-Resolution OSSE Jason Otkin and Becky Cintineo University of Wisconsin-Madison, Cooperative Institute
The NOAA Operational Numerical Guidance System: Recent Changes and Moving Forward. William. M. Lapenta Acting Director Environmental Modeling Center
AMS Future of the Weather Enterprise 11/27/12 1 N C E P The NOAA Operational Numerical Guidance System: Recent Changes and Moving Forward William. M. Lapenta Acting Director Environmental Modeling Center
Introduction to NCEP's time lagged North American Rapid Refresh Ensemble Forecast System (NARRE-TL)
Introduction to NCEP's time lagged North American Rapid Refresh Ensemble Forecast System (NARRE-TL) Binbin Zhou 1,2, Jun Du 2, Geoff Manikin 2 & Geoff DiMego 2 1. I.M. System Group 2. EMC/NCEP/NWS/NOAA
Evaluation of Ensemble Icing Probability Forecasts in NCEP s SREF, VSREF and NARRE-TL Systems
Evaluation of Ensemble Icing Probability Forecasts in NCEP s, V and Systems Binbin Zhou 1,2, Jun Du 2, Geoff DeMigo 2 and Robert Sallee 3 1. I.M. System Group 2. Environmental Modeling Center of NCEP 3.
The Canadian ADAGIO Project for Mapping Total Atmospheric Deposition
The Canadian ADAGIO Project for Mapping Total Atmospheric Deposition Amanda S. Cole Environment & Climate Change Canada (ECCC) MMF-GTAD Workshop Geneva, Switzerland February 28, 2017 ADAGIO team Amanda
An Integrated Approach to the Prediction of Weather, Renewable Energy Generation and Energy Demand in Vermont
1 An Integrated Approach to the Prediction of Weather, Renewable Energy Generation and Energy Demand in Vermont James P. Cipriani IBM Thomas J. Watson Research Center Yorktown Heights, NY Other contributors
Introducing Atmospheric Motion Vectors Derived from the GOES-16 Advanced Baseline Imager (ABI)
Introducing Atmospheric Motion Vectors Derived from the GOES-16 Advanced Baseline Imager (ABI) Jaime Daniels NOAA/NESDIS, Center for Satellite Applications and Research Wayne Bresky, Andrew Bailey, Americo
SAMPLE. SITE SPECIFIC WEATHER ANALYSIS Slip and Fall on Snow/Ice. Robinson, Smith & Walsh. John Smith. July 1, 2017 REFERENCE:
SAMPLE SITE SPECIFIC WEATHER ANALYSIS Slip and Fall on Snow/Ice PREPARED FOR: Robinson, Smith & Walsh John Smith July 1, 2017 REFERENCE: MARIE DAVIDSON / 202301 1 Jackson Drive, Hicksville, NY 11801 CompuWeather
Improvements to the NCEP Global and Regional Data Assimilation Systems
Improvements to the NCEP Global and Regional Data Assimilation Systems Stephen J. Lord Director NCEP Environmental Modeling Center EMC Staff NCEP: where America s climate, weather, and ocean services begin
MesoWest: One Approach to Integrate Surface Mesonets
: One Approach to Integrate Surface Mesonets John Horel Chris Galli Brian Olsen Judy Pechmann Department of Meteorology University of Utah http:www.met.utah.edu/mesowest jhorel@met.utah.edu ASOS RAWS Background
2.7 A PROTOTYPE VERIFICATION SYSTEM FOR EXAMINING NDFD FORECASTS
2.7 A PROTOTYPE VERIFICATION SYSTEM FOR EXAMINING NDFD FORECASTS Valery J. Dagostaro*, Wilson A. Shaffer, Michael J. Schenk, Jerry L. Gorline Meteorological Development Laboratory Office of Science and
Scatterometer Wind Assimilation at the Met Office
Scatterometer Wind Assimilation at the Met Office James Cotton International Ocean Vector Winds Science Team (IOVWST) meeting, Brest, June 2014 Outline Assimilation status Global updates: Metop-B and spatial
Introduction to the College of DuPage NEXLAB Website
Introduction to the College of DuPage NEXLAB Website The purpose of this lab is to familiarize yourself with our website so that you will have an easier time following along in class and will be able to
COSMIC GPS Radio Occultation and
An Impact Study of FORMOSAT-3/ COSMIC GPS Radio Occultation and Dropsonde Data on WRF Simulations 27 Mei-yu season Fang-Ching g Chien Department of Earth Sciences Chien National and Taiwan Kuo (29), Normal
A Space Time Multiscale Analysis System: A Sequential Variational Analysis Approach
1224 M O N T H L Y W E A T H E R R E V I E W VOLUME 139 A Space Time Multiscale Analysis System: A Sequential Variational Analysis Approach Y. XIE, S.KOCH, AND J. MCGINLEY NOAA/Earth System Research Laboratory,
KCCI SchoolNet8 and the Iowa Mesonet
KCCI SchoolNet8 and the Iowa Mesonet Daryl Herzmann Iowa State University Iowa Environmental Mesonet 411 What does mesonet mean? meso - Spatial scale, net - network Why environmental? We are interested
Bruce L. Rose The Weather Channel Atlanta, GA. and. Peter P. Neilley 1 Weather Services International, Inc. Andover, MA 01810
7.20 A Real-Time System to Estimate Weather Conditions at High Resolution Bruce L. Rose The Weather Channel Atlanta, GA and Peter P. Neilley 1 Weather Services International, Inc. Andover, MA 01810 1.
Center for Transportation Research and Education. Winter Maintenance Operations & Maintenance Decision Support System TRANS 691 Seminar March 5, 2004
Center for Transportation Research and Education Winter Maintenance Operations & Maintenance Decision Support System TRANS 691 Seminar March 5, 2004 1 Why Winter Maintenance? Weather related traffic accidents
Canadian Meteorological and Oceanographic Society and American Meteorological Society 21 st Conference on Numerical Weather Prediction 31 May 2012
Canadian Meteorological and Oceanographic Society and American Meteorological Society 21 st Conference on Numerical Weather Prediction 31 May 2012 The High Resolution Rapid Refresh (): An hourly updating
The Delaware Environmental Monitoring & Analysis Center
The Delaware Environmental Monitoring & Analysis Center Tina Callahan Delaware Estuary Science & Environmental Summit 2013 January 27-30, 2013 What is DEMAC? Delaware Environmental Monitoring & Analysis
Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission
Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission Sunil Baidar (a, b), Sara Tucker (c), Mike Hardesty (a, b) (a) Cooperative Institute for Research in Environmental Sciences, University
NOAA s NATIONAL SNOW ANALYSES. Tom Carroll and Don Cline
NOAA s NATIONAL SNOW ANALYSES Tom Carroll and Don Cline National Operational Hydrologic Remote Sensing Center National Weather Service, NOAA 1735 Lake Drive West, Chanhassen, Minnesota Phone: 952-361-6610
Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs
Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs Zhaoxia Pu Department of Atmospheric Sciences University of Utah, Salt Lake City, Utah,
COOP Modernization: NOAA s Environmental Real-time Observation Network in New England, the Southeast and Addressing NIDIS in the West
COOP Modernization: NOAA s Environmental Real-time Observation Network in New England, the Southeast and Addressing NIDIS in the West Ken Crawford NWS Office of Science and Technology Special Presentation
Real-time PBL analysis system using profilers observations from The New York State Mesonet
Real-time PBL analysis system using profilers observations from The New York State Mesonet Sarah Lu University at Albany State University of New York Outline Background System description and progress
Experimental MOS Precipitation Type Guidance from the ECMWF Model
Experimental MOS Precipitation Type Guidance from the ECMWF Model Phillip E. Shafer David E. Rudack National Weather Service Meteorological Development Laboratory Silver Spring, MD Development Overview:
Application of IMAPP at East China Normal University
CSPP / IMAPP Users Group Meeting Application of IMAPP at East China Normal University Yan an Liu 1, 2, Wei Gao 1, Runhe Shi 1, Allen Huang 2, Kathy Strabala 2, Liam Gumley 2, Yunzhu Chen 1, Xiaoyun Zhuang
Summary of November Central U.S. Winter Storm By Christopher Hedge
Summary of November 12-13 2010 Central U.S. Winter Storm By Christopher Hedge Event Overview The first significant snowfall of the 2010-2011 season affected portions of the plains and upper Mississippi
Wind Resource Analysis
Wind Resource Analysis An Introductory Overview MGA/NWCC Midwestern Wind Energy: Moving It to Markets July 30, 2008 Detroit, Michigan Mark Ahlstrom 1 WindLogics Background Founded 1989 - supercomputing
JOINT WMO TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA PROCESSING AND FORECASTING SYSTEM AND NUMERICAL WEATHER PREDICTION RESEARCH ACTIVITIES FOR 2006
JOINT WMO TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA PROCESSING AND FORECASTING SYSTEM AND NUMERICAL WEATHER PREDICTION RESEARCH ACTIVITIES FOR 2006 [TURKEY/Turkish State Meteorological Service] 1. Summary
WRF Modeling System Overview
WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared
ARM Climate Research Facility: Goals and Objectives
ARM Climate Research Facility: Goals and Objectives Provide the national and international scientific community with the infrastructure needed for scientific research on global change Global change research
SAMPLE. SITE SPECIFIC WEATHER ANALYSIS Wind Report. Robinson, Smith & Walsh. John Smith REFERENCE:
SAMPLE SITE SPECIFIC WEATHER ANALYSIS Wind Report PREPARED FOR: Robinson, Smith & Walsh John Smith REFERENCE: JACK HIGGINS / 4151559-01 CompuWeather Sample Report Please note that this report contains
Understanding Weather and Climate Risk. Matthew Perry Sharing an Uncertain World Conference The Geological Society, 13 July 2017
Understanding Weather and Climate Risk Matthew Perry Sharing an Uncertain World Conference The Geological Society, 13 July 2017 What is risk in a weather and climate context? Hazard: something with the
Data Short description Parameters to be used for analysis SYNOP. Surface observations by ships, oil rigs and moored buoys
3.2 Observational Data 3.2.1 Data used in the analysis Data Short description Parameters to be used for analysis SYNOP Surface observations at fixed stations over land P,, T, Rh SHIP BUOY TEMP PILOT Aircraft
NCEP Global Ensemble Forecast System (GEFS) Yuejian Zhu Ensemble Team Leader Environmental Modeling Center NCEP/NWS/NOAA February
NCEP Global Ensemble Forecast System (GEFS) Yuejian Zhu Ensemble Team Leader Environmental Modeling Center NCEP/NWS/NOAA February 20 2014 Current Status (since Feb 2012) Model GFS V9.01 (Spectrum, Euler
MAP Re-Analysis with IFS/ARPEGE/ALADIN
MAP Re-Analysis with IFS/ARPEGE/ALADIN Stjepan Ivatek-Šahdan RC LACE Data Manager Croatian Meteorological and Hydrological Service ivateks@cirus.dhz.hr Contents - Why to care about MAP-SOP Period? - Modification
OWLeS (Ontario Winter Lake-effect Systems)
Request for LOAF Facility Support Wyoming King Air with Cloud Radar & Cloud Lidar Two Dual-Pol DOWs + One Rapid-scan DOW Field Catalog & Data Archive support OWLeS (Ontario Winter Lake-effect Systems)
The NASA Short-term Prediction Research and Transition (SPoRT) Center:
The NASA Short-term Prediction Research and Transition (SPoRT) Center: Opportunities for Collaboration in the Great Lakes Region Andrew Molthan NASA Marshall Space Flight Center, Huntsville, AL andrew.molthan@nasa.gov
NOAA s Climate Normals. Pre-release Webcast presented by NOAA s National Climatic Data Center June 13, 2011
NOAA s 1981-2010 Climate Normals Pre-release Webcast presented by NOAA s National Climatic Data Center June 13, 2011 Takeaway Messages Most Normals will be available July 1 via FTP NWS Normals to be loaded
Midwestern Climate Center Office of Applied Climatology Illinois State Water Survey 2204 Griffith Drive Champaign, Illinois (217)
SWS Miscellaneous Publication 136 by Wayne M. Wendland (IL), Kenneth E. Kunkel, Glen Conner (KY), Wayne L. Decker (MO), Harry Hillaker (IA), Pant Naber-Knox (WI), Fred V. Nurnberger (MI), Jeffrey Rogers
The Properties of Convective Clouds Over the Western Pacific and Their Relationship to the Environment of Tropical Cyclones
The Properties of Convective Clouds Over the Western Pacific and Their Relationship to the Environment of Tropical Cyclones Principal Investigator: Dr. Zhaoxia Pu Department of Meteorology, University
The Weather Research and
The Weather Research and Forecasting (WRF) Model Y.V. Rama Rao India Meteorological Department New Delhi Preamble Weather Prediction an Initial value problem Hence, Earth Observing System (EOS) involving
REQUIREMENTS FOR WEATHER RADAR DATA. Review of the current and likely future hydrological requirements for Weather Radar data
WORLD METEOROLOGICAL ORGANIZATION COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS WORKSHOP ON RADAR DATA EXCHANGE EXETER, UK, 24-26 APRIL 2013 CBS/OPAG-IOS/WxR_EXCHANGE/2.3